App X-ray
From exposing hidden tracking practices to identifying security vulnerabilities to benchmarking competitor features, App X-ray delivers comprehensive forensic analysis of any iOS app. Our automated pipeline surfaces critical insights about privacy practices, security posture, third-party integrations, and code level implementations across millions of apps.
Startup development team uses App X-ray to secure their own app and accelerate development by learning from industry leaders
Customer
A lean startup development team building a fitness tracking application needed to ensure their own app met privacy and security standards while competing against well-funded incumbents. With limited resources and no dedicated security team, they required efficient tools to audit their own releases for vulnerabilities while simultaneously gaining technical insights from successful competitor apps to inform their product roadmap and architectural decisions.
Challenge
Early-stage startups face a dual challenge: they must ship secure, compliant applications without dedicated security resources, while also competing against established players with years of technical refinement and substantially larger engineering teams. Traditional security audits are prohibitively expensive, manual competitive analysis is time-consuming and incomplete, and reverse engineering expertise is rare and costly. Without these capabilities, startups risk shipping vulnerable code, missing critical features, or reinventing solutions that competitors have already optimized. All of these risks can be fatal to product-market fit and fundraising efforts.
Solution
Our App X-ray platform delivers two critical capabilities through a single API: comprehensive security and privacy analysis of the team's own application, plus deep technical intelligence on competitor implementations. Before each release, the team analyzes their own build to identify exposed credentials, insecure permissions, privacy vulnerabilities, and compliance gaps. Simultaneously, they use App X-ray to examine top-performing competitor apps by studying their SDK choices, feature implementations, permission strategies, backend architectures, and UI/UX patterns. This dual-use approach provides both quality assurance and competitive intelligence without requiring specialized reverse engineering expertise.
Result
The startup identified and resolved three critical security vulnerabilities in their pre-launch build that would have exposed user health data, avoiding a potentially catastrophic breach and regulatory violation. Through competitor analysis, they discovered that leading fitness apps implemented offline-first architecture patterns and used specific analytics SDKs that enabled sophisticated engagement features. Armed with these insights, the team prioritized similar capabilities in their roadmap, implemented battle-tested SDK integrations, and adopted architectural patterns proven by market leaders. This reduced technical experimentation time by an estimated 4-6 months. The combined security validation and competitive intelligence capabilities allowed a team of four developers to ship with the confidence and sophistication typically requiring a 20+ person engineering organization.
Impact
App X-ray has become essential infrastructure for the startup's development and release process. The team now runs automated security analysis on every release candidate, catching vulnerabilities before they reach production and providing verifiable security documentation for enterprise sales conversations and investor due diligence. Continuous competitive monitoring alerts them to new SDK adoptions and feature implementations by competitors, allowing them to respond quickly to market shifts. The platform's dual value proposition (securing their own app while learning from the best in their category) has become a key competitive advantage, enabling rapid iteration without compromising on security or missing critical market trends.
CISOs and IT executives rely on our app-intelligence dataset to detect vulnerabilities in both internally developed apps and apps sanctioned for employee use.
Customer
Large enterprises and SMBs leverage our platform to obtain deep, continuous visibility into the security characteristics of any iOS application.
Challenge
End-to-end analysis of a single iOS binary (downloading, decompiling, instrumenting, and running dynamic tests) requires niche expertise and dedicated tooling. Extending that workflow to tens of millions of apps exceeds the bandwidth of internal teams and would be financially impractical to replicate through external pentesting engagements.
Solution
Our proprietary automated pipeline provides access to a unique, fully analyzed dataset that surfaces critical vulnerabilities including plaintext credential exposure, embedded keys and certificates, proprietary code leaks, insecure permissions, and many other high-risk issues.
Result
We empower organizations to rapidly detect, prioritize, and resolve vulnerabilities in their own applications, while also making informed decisions about the risks posed by third-party apps used across their environment.
NBC's Today Show utilized our app X-ray technology to identify and expose privacy vulnerabilities within the popular Temu shopping application, resulting in national broadcast coverage.
Customer
NBC's Today Show and Nightly News investigative teams have leveraged our privacy data intelligence platform into their investigative journalism workflow for multiple high-profile reports.
Challenge
Uncovering sophisticated privacy vulnerabilities within mobile applications requires specialized technical expertise and proprietary forensic tools that exceed the capabilities of traditional security auditing methods. Even enterprise-grade security teams lack the infrastructure necessary to conduct this level of deep application analysis.
Solution
Our proprietary automated analysis pipeline delivers research teams a comprehensive, fully-analyzed dataset that identifies critical vulnerabilities and potential privacy risks. The platform provides timestamped, forensically-sound data with complete audit trails and exportable documentation suitable for legal proceedings and investigative reporting.
Result
Our analysis formed the evidentiary foundation for an investigative segment that aired nationally on NBC's Today Show, demonstrating the platform's capability to deliver broadcast-quality intelligence on application privacy practices.
Impact
The exceptional quality and forensic rigor of our data and analysis has resulted in repeat engagements with NBC News. Both the Today Show and Nightly News teams have commissioned Disconnect for multiple subsequent investigative reports, each resulting in national broadcast coverage.